Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of disclosing behavior. It explains the high/low ranking concept but does not disclose default sorting behavior, limit handling, tie-breaking, or what the returned rows look like. The schema covers ascending/limit, but the description adds little behavioral context beyond the one-line purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence that immediately conveys the tool's purpose and unique value. It is front-loaded and contains no filler, though the quoted phrase is slightly informal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description should provide enough context for invocation and result interpretation. It does not mention return format, pagination, default limit, or error conditions for non-numeric columns. The simple concept is captured, but several practical details an agent would need are absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, so the description must compensate. It does add meaning by stating the column must be numeric and that the tool can return highest or lowest, which maps to ascending. However, it says nothing about the `limit` parameter or its semantics, and only indirectly references `ascending`. For a three-parameter tool, this is insufficient compensation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it ranks rows by a numeric column and supports both highest and lowest values. The phrase 'which is the most/least X' gives an intuitive sense of the tool's purpose, and it is distinct enough from siblings like dataset_search or dataset_stats. It does not explicitly name a sibling, but the core action and resource are clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through the 'most/least X' framing, which tells the agent this is for identifying extreme rows rather than searching or summarizing. However, it gives no explicit guidance on when to prefer this over alternatives, nor any exclusions or prerequisites such as requiring a numeric column to exist.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.